by Le Random
Le Random is building a digital generative art institution that contextualizes and elevates generative art. We achieve this in two ways. First, we are assembling a historically encompassing, chain-agnostic generative art collection. Second, we publish content that enables the generative art community to understand its past, curate its present and celebrate its future. This includes an Editorials section, our book-length Generative Art Timeline and our multimedia content here and on YouTube. This is the home of Le Random's audio content.
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🇺🇲
Publishing Since
12/6/2023
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April 14, 2025
<p>This is Part I of our Deep Learning Series where Le Random's editor-in-chief Peter Bauman (Monk Antony) speaks with the most relevant figures in deep learning art. In this first installment, Peter speaks with two of the earliest artists to engage with the intersection of art and deep generative models, Tom White (dribnet) and Gene Kogan.</p><p><br /></p><p>They explore the artistic, philosophical and cultural implications of GANs and deep generative models, drawing on the artists' early experiences and perspectives in the field . The conversation touches on the origins of their interest in GANs, the evolution of AI and its perception, critiques of AI art, the nature of machine representations, and the connection between AI and decentralization.</p><p><br /></p><p>Chapters 📖:</p><p>[00:00:00]: Introduction and Guest Overview</p><p>[00:02:36]: First Encounters with GANs and Initial Excitement</p><p>[00:04:04]: Gene's Journey with Machine Learning and Art</p><p>[00:08:55]: The Rise of AI Twitter and Deep Learning Culture</p><p>[00:12:15]: The Mission to Make AI Tools Accessible</p><p>[00:17:38]: Changing Philosophies of Computation</p><p>[00:22:55]: Critiques of AI in the Art World</p><p>[00:25:35]: Literacy and Understanding in AI Art Critique</p><p>[00:28:59]: Algorithmic Gaze and Machine Perception</p><p>[00:31:27]: The Platonic Representation Hypothesis</p><p>[00:34:22]: Art by AI for AI and Machine Representation</p><p>[00:38:26]: Decentralized AI and its Evolution</p><p>[00:41:10]: Tom's Early Work at MIT and Interactive Graphics</p><p>[00:43:27]: Final Thoughts</p>
April 1, 2025
<p>In this conversation, the Le Random team reflects on a noteworthy start to 2025 in digital art. Host Peter Bauman (Editor-in-Chief at Le Random) is joined by thefunnyguys (CEO) and Conrad House (Collection Lead).</p><p><br></p><p>📖 Chapters</p><p>00:00:00 – Introduction</p><p>00:01:29 – AI Ethics & Artist Consent Debates</p><p>00:04:31 – Legal Uncertainty & Fair Use</p><p>00:06:55 – How Artists Are Using AI Tools</p><p>00:08:14 – Redistributing Value Through New Models</p><p>00:11:02 – Silicon Valley vs. Academic Roots of AI</p><p>00:14:11 – The Power Imbalance in AI Development</p><p>00:17:36 – Why AI Agents Fell Short This Quarter</p><p>00:21:45 – Functional AI Agents & DAO Experiments</p><p>00:27:17 – Rethinking NFTs in Digital Art</p><p>00:33:11 – Institutional Misalignment: Case of Sam Spratt</p><p>00:40:50 – Manolo’s Return to Generative Art</p><p>00:46:51 – Protocol Art & January’s Highlights</p><p>00:51:08 – Q1 Standout Exhibitions</p><p>00:55:57 – Favorite Projects, Acquisitions & Looking Ahead</p>
March 4, 2025
<p>In this episode of the Le Random podcast, host Peter Bauman (Monk Antony), our editor-in-chief, coordinates a discussion on coordination. He is joined by very special guests Mitchell F Chan, Operator's Ania Catherine and Dejha Ti, matto from Material Protocol Arts and maltefr.The conversation explores both the contrasts and connections between these seemingly opposing emerging camps, reaching at the very heart of why artists choose to work on Ethereum—straight from the protocol's leading thinkers and practitioners.</p>
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